Lead business development and delivery for AI-driven simulation software within aerospace and defense, driving customer acquisition, shaping go-to-market strategy, and managing technical execution. Engage with senior engineering leaders, scope and deliver high-impact projects, and translate customer needs into product evolution. This hybrid role blends strategic sales with hands-on technical leadership and regular travel to customer sites.
This role involves building and running high-fidelity CFD simulations from geometry preparation to post-processing for moderately complex engineering cases. You'll work at the intersection of CAE and data science, supporting the development of AI-driven simulation models and contributing to automated workflows on cloud and HPC platforms. The position includes customer collaboration, model adaptation for deep learning surrogates, and occasional international travel to support on-site engagements.
As a Software Engineer in the National Security and AI Safety team, you will build and deploy production-grade machine learning systems, collaborate with cross-functional teams, and ensure the technical feasibility and impact of AI solutions. You will work on high-stakes, high-impact projects, leading technical scoping and architectural decisions, and act as a technical advisor to clients and partners.
As a Senior Software Engineer, you will lead the development and deployment of cutting-edge AI systems for high-impact missions. You will design and build scalable, production-grade ML software and infrastructure, collaborate with cross-functional teams, and mentor junior engineers.
This role involves leading software development across AI and computer vision projects, from research through to deployment, within multidisciplinary teams. The engineer will contribute to product and service development, including AI Assurance, and provide technical leadership in design and architecture. Emphasis is placed on innovation, continuous improvement, and delivering engineering solutions for clients in complex technical domains.
This role involves building and maintaining scalable Python libraries and tools that support machine learning engineers and researchers in training, evaluating, and scaling AI models. You'll work on creating robust abstractions for distributed training, data pipelines, and model evaluation workflows, with a focus on reliability, performance, and usability across large GPU clusters and cloud infrastructure. The position is embedded within an AI platform team driving autonomous driving technology development.
This role involves developing and maintaining high-scale simulation systems for Wayve’s embodied AI driving technology. You'll work across C++ and Python to integrate components of the end-to-end driving stack, improve simulation accuracy and reproducibility, and support both open-loop and closed-loop workflows. The position emphasizes debugging complex systems, performance optimization, and close collaboration with robotics, autonomy, and data teams to deliver reliable, scalable simulation infrastructure.
This role involves guiding large UK businesses in deploying Claude, Anthropic's AI platform, into their operations. Responsibilities include technical advising, architecture design, and presenting business value to C-level executives, while navigating procurement and compliance requirements.
Lead the go-to-market strategy and operations for Anthropic's international partnerships, spanning UKI, EMEA, India, Japan, and APAC. Define regional targets, forecast accuracy, and operating rhythms while driving cross-regional initiatives to shape global partnerships architecture. Build scalable systems that align with local market realities and support enterprise AI adoption through indirect revenue models.
This role involves working between research and engineering teams to build performance models and calculators for AI infrastructure. You'll optimize GPU/accelerator code, profile real training and inference runs, and provide actionable insights that influence system architecture and procurement decisions for the organization and its members.
Performance Engineer (Junior) | AI Infrastructure | Cambridge (Hybrid) | up to £70k Most engineers find out whether a change works after it ships. This role is about knowing before anyone spends a penny on new hardware, building the models...
Develop generative and predictive models of cellular behaviour using multi-omic and perturbation data, with a focus on causal inference and counterfactual prediction. Collaborate closely with experimental teams to iteratively design and validate hypotheses in wet-lab settings. Work in a highly interdisciplinary environment combining machine learning, biology, and engineering to drive novel therapeutic discovery.
Design and implement machine learning models tailored to single-cell and multiomic biological data to understand cellular responses to interventions. Collaborate closely with wet-lab scientists to translate biological questions into modelling problems and ensure models capture biologically meaningful insights. Contribute to research roadmap development and advance cellular modelling through interdisciplinary collaboration.
